Michal Brylinski

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Louisiana State University

United States

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Combining structure-based network biology and heterogeneous computing for rational drug repositioning and polypharmacology

Open Date: 2016-07-15

Close Date: 2021-06-30

Articles (10)

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2025

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2025

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2025

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2024

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2024

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2023

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2022

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2022

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2021

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2020

Collaborators (3)

Brent Stanfield

Research Assistant Professor

Louisiana State University School of Veterinary Medicine

UNITED STATES

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Guannan Liu

Assistant Professor

San Jose State University

UNITED STATES

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Gopal Srivastava

Graduate Research and Teaching Assistant

Louisiana State University

UNITED STATES

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Michal Brylinski

Research Interests

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Contact this professor

Recent Grants

Articles (10)

Harnessing Large-Scale University Registrar Data for Predictive Insights: A Data-Driven Approach to Forecasting Undergraduate Student Success with Convolutional Autoencoders

EC2Vec: A Machine Learning Method to Embed Enzyme Commission (EC) Numbers into Vector Representations

A Data-Driven Approach to Enhance the Prediction of Bacteria–Metabolite Interactions in the Human Gut Microbiome Using Enzyme Encodings and Metabolite Structural Embeddings

Insights from Augmented Data Integration and Strong Regularization in Drug Synergy Prediction with SynerGNet

SynerGNet: A Graph Neural Network Model to Predict Anticancer Drug Synergy

Unlocking the Potential of Kinase Targets in Cancer: Insights from CancerOmicsNet, an AI-Driven Approach to Drug Response Prediction in Cancer

GraphSite: Ligand Binding Site Classification with Deep Graph Learning

An integrated network representation of multiple cancer-specific data for graph-based machine learning

GraphDTI: A robust deep learning predictor of drug-target interactions from multiple heterogeneous data

BionoiNet: ligand-binding site classification with off-the-shelf deep neural network

Collaborators (3)

Brent Stanfield

Guannan Liu

Gopal Srivastava

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